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Transaction

8/23/2021 09:25:50 AM
ID: fd02d43d10...cc7a
Inputs (1)
#0
a28492a9d0e5...b457
Spent
Address:
5UYMSVMFBWaK...RFsF
Output transaction:
d181f40faddf...ab1d
Settlement height:
561,116
Value:
0.112 ERG
Outputs (2)
#0
306267d1a9c2...c7c6
Spent
Address:
9g1yghpf5q1X...SdhV
Spent in transaction:
5b8395b96acb...e605
Settlement height:
561,116
Value:
0.11 ERG
Tokens:
Loading assets...
#1
ee4a918af4d3...e3b8
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
82a221d41bce...8a7c
Settlement height:
561,116
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 383 B
Received time: 8/23/2021 09:25:50 AM
Included in blocks: 561,116
Confirmations: 1,195,841
Total coins transferred: 0.112 ERG
Fees: 0.002 ERG
Fees per byte: 0.000005222 ERG
Raw Transaction Data
{
  "id": "fd02d43d107c2e4e140774a80426dedd451ff522159bcef35eb56fff6d8fcc7a",
  "blockId": "13a41bcf270c669d7a1ab75e9fc66bbce9a2d85afe9c8d2f74345ea6f6255f75",
  "inclusionHeight": 561116,
  "timestamp": 1629710750303,
  "index": 3,
  "globalIndex": 1667453,
  "numConfirmations": 1195841,
  "inputs": [
    {
      "boxId": "a28492a9d0e514b1077c5aeecef7acbd2988695feedc8e804f5c90fcedf9b457",
      "value": 112000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "13a41bcf270c669d7a1ab75e9fc66bbce9a2d85afe9c8d2f74345ea6f6255f75",
      "outputTransactionId": "d181f40faddf6f12ae87755e0b6a7b0175fe48286844239f03a7b6946fa9ab1d",
      "outputIndex": 0,
      "outputGlobalIndex": 6516417,
      "outputCreatedAt": 561112,
      "outputSettledAt": 561116,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 2\n5: 1\n6: 110000000\n7: Coll(0,8,-51,2,-59,90,-27,-64,-25,125,-72,-62,66,28,88,18,100,37,-101,126,0,-53,-38,17,78,-68,108,-38,-26,-32,-86,-123,70,-123,92,82)\n8: Coll(1,1)\n9: Coll(-104,53,14,41,-36,56,-89,-23,-47,55,-78,39,62,-91,-77,92,-67,-95,-75,-61,64,-44,80,-115,53,-60,-89,25,50,-11,-7,75)\n10: 0\n11: 4000000\n12: Coll(0,8,-51,2,-59,90,-27,-64,-25,125,-72,-62,66,28,88,18,100,37,-101,126,0,-53,-38,17,78,-68,108,-38,-26,-32,-86,-123,70,-123,92,82)",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val l2 = box1.value\n  val coll3 = INPUTS(placeholder[Int](1)).id\n  val tuple4 = box1.tokens.getOrElse(placeholder[Int](2), (coll3, placeholder[Long](3)))\n  sigmaProp(\n    (OUTPUTS.size == placeholder[Int](4)) && (\n      (\n        (\n          (\n            (((coll3 == tuple4._1) && (tuple4._2 == placeholder[Long](5))) && (l2 == placeholder[Long](6))) && (\n              box1.propositionBytes == placeholder[Coll[Byte]](7)\n            )\n          ) && (box1.R7[Coll[Byte]].get == placeholder[Coll[Byte]](8))\n        ) && (box1.R8[Coll[Byte]].get == placeholder[Coll[Byte]](9))\n      ) || (\n        (l2 >= INPUTS.fold(placeholder[Long](10), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - placeholder[Long](11)) && (\n          box1.propositionBytes == placeholder[Coll[Byte]](12)\n        )\n      )\n    )\n  )\n}",
      "address": "5UYMSVMFBWaKMWW5pqVmZWPk7MDZ6xzYz924PUBUdUWKKx3EwDMWLnaMYfsNLr2LjmQ1bDkHyuDiMtSNtXENY2nNP2WcggG637bdaP3f97DQbBvkhfxpxReMqbnT5uMJME9rBiKcuKjKNqdPu3GP9WVqywz3Q9Wyr8zwTvCV8qQmKTnG7EtmvAGLwAEVL94nqkLDgchVZWjsCUQjkST3xaQzsvb429qtGJX8e2D7YmHw9MYeqxnzMGcF6nEGkURm3Lh9kNngdmDN7VnKr2ojbjniUasE4xjFBZKjhCacSCup5AcwPi9mTAhnSr7RQegeXrGbLAe2VC1QmyEAMkRGNBqMkvZykRagyyv3aAqNQ9Sv76MRFsF",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "306267d1a9c2127438973b54410b8c8fa1520b8b4af37827a960439512a1c7c6",
      "transactionId": "fd02d43d107c2e4e140774a80426dedd451ff522159bcef35eb56fff6d8fcc7a",
      "blockId": "13a41bcf270c669d7a1ab75e9fc66bbce9a2d85afe9c8d2f74345ea6f6255f75",
      "value": 110000000,
      "index": 0,
      "globalIndex": 6516420,
      "creationHeight": 561114,
      "settlementHeight": 561116,
      "ergoTree": "0008cd02c55ae5c0e77db8c2421c581264259b7e00cbda114ebc6cdae6e0aa8546855c52",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c55ae5,397ba3,...)))}",
      "address": "9g1yghpf5q1X4xBB3Q7HKzj5QqcdTLQPYUGTU9M6QZHDxMLSdhV",
      "assets": [
        {
          "tokenId": "a28492a9d0e514b1077c5aeecef7acbd2988695feedc8e804f5c90fcedf9b457",
          "index": 0,
          "amount": 1,
          "name": "#193 | Samuel Jackson | by ErgoPixels",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e2523313933207c2053616d75656c204a61636b736f6e207c206279204572676f506978656c73",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "23313933207c2053616d75656c204a61636b736f6e207c206279204572676f506978656c73"
        },
        "R6": {
          "serializedValue": "0e0130",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "30"
        },
        "R8": {
          "serializedValue": "0e2098350e29dc38a7e9d137b2273ea5b35cbda1b5c340d4508d35c4a71932f5f94b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "98350e29dc38a7e9d137b2273ea5b35cbda1b5c340d4508d35c4a71932f5f94b"
        },
        "R7": {
          "serializedValue": "0e020101",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0101"
        },
        "R9": {
          "serializedValue": "0e2068747470733a2f2f692e6962622e636f2f354638787347322f3139332e706e67",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "68747470733a2f2f692e6962622e636f2f354638787347322f3139332e706e67"
        },
        "R4": {
          "serializedValue": "0e2523313933207c2053616d75656c204a61636b736f6e207c206279204572676f506978656c73",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "23313933207c2053616d75656c204a61636b736f6e207c206279204572676f506978656c73"
        }
      },
      "spentTransactionId": "5b8395b96acb7bb03f5e3fca50f6c2274b2018fab54949cd3c65867ec0c2e605",
      "mainChain": true
    },
    {
      "boxId": "ee4a918af4d35c9b5dbb49a190696e25250b5344d78f9ba2f679037879fce3b8",
      "transactionId": "fd02d43d107c2e4e140774a80426dedd451ff522159bcef35eb56fff6d8fcc7a",
      "blockId": "13a41bcf270c669d7a1ab75e9fc66bbce9a2d85afe9c8d2f74345ea6f6255f75",
      "value": 2000000,
      "index": 1,
      "globalIndex": 6516421,
      "creationHeight": 561114,
      "settlementHeight": 561116,
      "ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
      "ergoTreeScript": "{sigmaProp(\n  allOf(\n    Coll[Boolean](\n      HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n        placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n      ), OUTPUTS.size == placeholder[Int](4)\n    )\n  )\n)}",
      "address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "82a221d41bce2aaa8fbb194c6c33e9b27e9b5036954dd94d5b79e25d124b8a7c",
      "mainChain": true
    }
  ],
  "size": 383,
  "isUnconfirmed": false
}